***** To join INSNA, visit http://www.insna.org ***** HI, I am a graduate student working on a social network project. I ran into two questions about social network structural properties when I was using Ucinet to analyze network data. 1. network--->centrality--->Degree: The output provide Freeman's graph centralization measures. I understand that the degree centralization expresses the degree of inequality or variance in the network as a percentage of that of a perfect star network of the same size. The output also indicates that centralization of a network could exceed 100% if valued data are used. My question is how should a network centralization value that exceeds 100% be interpreted? What does it mean? Does it mean the network structure is more than a perfect star structure? 2. network--->cohesion---->Distance: the output provides distance-based cohesion. It is also indicated that this value ranges from 0 to 1, with larger value meaning higher degree of cohesiveness. How is this value calculated? What exactly does it mean? I appreciate any feedback from you! Thanks! Siyuan _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.